Backenly vs. Supabase
Supabase is an open-source platform built on PostgreSQL, with auto-generated APIs, authentication, storage, and Edge Functions. It is a good product with a large ecosystem, and this page assumes you already know that.
The difference in one paragraph
These two run the same query engine. Both serve your tables through PostgREST on PostgreSQL, so filters, ordering, embedded resources, and exact counts use the same grammar, and a developer fluent in one is fluent in the other. The difference is not the API, it is the workflow around it. On Supabase you design the schema, write the migrations, author the row-level security policies, and own monitoring and recovery. On Backenly those structural changes go through one audited path with a change record and a restore point for schema-touching work, and a loop keeps checking a set of declared invariants after you stop looking. Neither model is universally correct. Owning the work directly is a feature if your team wants that job, and an operating layer is a feature if it does not.
How they are shaped
The same query engine, reached the same way
Backenly's data plane is PostgREST, which is what Supabase serves its tables through. Filters, ordering, embedded resources in one round trip, upsert with a conflict target, exact counts over Content-Range: the same grammar on both sides, because it is the same software. Backenly publishes it at /api/v2/{projectId}/{table}, and ships a compatibility entry point in its SDK that emits PostgREST directly rather than translating into a narrower dialect. The practical consequence is that most of what you know transfers, and so does most of your client code.
Where the products diverge: who applies the change
On Supabase a schema change is a migration you write, test, and run. That is a well-understood workflow with decades of tooling behind it, and it puts every decision in your hands. On Backenly a schema change is a typed action applied through a single kernel: planned against the live backend, recorded, and for schema-touching work snapshotted before it runs. Destructive operations do not execute on request. They stop at an approval naming the target, with the affected row count where it can be read cheaply. This is the trade the comparison turns on. You give up writing the migration; you get a path where a mistaken drop is a card rather than an incident.
And who is watching afterwards
Supabase gives you logs, metrics, and a dashboard, and you decide what to do with them. Backenly declares a set of invariants about a backend (every table holding user data is protected by row-level security, no policy is silently a no-op, relationship columns have foreign keys and indexes, the REST plane is actually answering) and reconciles the live system against them on a schedule. Most findings are reported. A narrow, enumerable class is repaired automatically. Anything touching authentication, external credentials, or anything destructive requires a person, at every autonomy setting including the most permissive.
Capability by capability
The fourth column says what each difference costs or buys in practice, including when the honest answer is nothing.
| Aspect | Supabase | Backenly | In practice |
|---|---|---|---|
| Database | PostgreSQL | PostgreSQL | No difference. Both are ordinary Postgres, and pg_dump moves data in either direction. |
| Query API | PostgREST | PostgREST, plus a typed REST surface alongside it | The same grammar, so query code and mental models carry across without a rewrite. |
| Schema change | Migrations you author and run | Typed actions through one audited kernel, with a restore point on schema-touching work | Direct control versus a reviewable path. Supabase gives you every decision; Backenly gives you a record and an undo. |
| Destructive operations | Run when you run them | Held for approval, with the target and its row count where cheaply readable | A guardrail, not a capability difference. Both can drop a table; only one makes you confirm it twice. |
| Row-level security | You author policies; the docs require a pgTAP suite to know they work | Policy SQL installed verbatim and read back from pg_policies; invariants inspect known failure modes | Neither removes your responsibility for the rule itself. Backenly checks a narrow set of ways a policy can be wrong. |
| After launch | Logs, metrics, and your own response | A reconciliation loop with a narrow automatic repair band and an approval queue | The platform repairs only what it can repair safely. Everything else it reports, like any monitor. |
| Preview environments | Branching, wired into GitHub pull requests | Branch-scoped data environments, up to five active, selected by the API key | Supabase's is integrated with your git workflow. Backenly's covers the data and REST surfaces; auth, functions, and storage still resolve to main. |
| Agent access | Official MCP server with a broader tool surface, read-only mode, and project scoping | Twenty-three advertised tools; destructive operations are absent from the surface and route to approval | Different safety models rather than different reach. See the agent section below. |
| Serverless functions | Edge Functions | Event, HTTP, and scheduled functions | Supabase's is a general-purpose edge runtime. Backenly's are shaped around database events. |
| Licence | Apache-2.0, self-hostable | Apache-2.0, self-hostable | The same answer. Neither locks the door on the way out. |
| Billing shape | Pro starts at $25/month with metered dimensions above the included limits | Pro is $25/month, with quotas that are hard caps unless you set a spend limit | A difference in shape rather than headline price. Backenly bills nothing past $25 until you choose to, and then never past the limit you set; metered billing by default tracks what you use from the first unit past the quota. |
- Database
Supabase
PostgreSQL
Backenly
PostgreSQL
In practice
No difference. Both are ordinary Postgres, and pg_dump moves data in either direction.
- Query API
Supabase
PostgREST
Backenly
PostgREST, plus a typed REST surface alongside it
In practice
The same grammar, so query code and mental models carry across without a rewrite.
- Schema change
Supabase
Migrations you author and run
Backenly
Typed actions through one audited kernel, with a restore point on schema-touching work
In practice
Direct control versus a reviewable path. Supabase gives you every decision; Backenly gives you a record and an undo.
- Destructive operations
Supabase
Run when you run them
Backenly
Held for approval, with the target and its row count where cheaply readable
In practice
A guardrail, not a capability difference. Both can drop a table; only one makes you confirm it twice.
- Row-level security
Supabase
You author policies; the docs require a pgTAP suite to know they work
Backenly
Policy SQL installed verbatim and read back from pg_policies; invariants inspect known failure modes
In practice
Neither removes your responsibility for the rule itself. Backenly checks a narrow set of ways a policy can be wrong.
- After launch
Supabase
Logs, metrics, and your own response
Backenly
A reconciliation loop with a narrow automatic repair band and an approval queue
In practice
The platform repairs only what it can repair safely. Everything else it reports, like any monitor.
- Preview environments
Supabase
Branching, wired into GitHub pull requests
Backenly
Branch-scoped data environments, up to five active, selected by the API key
In practice
Supabase's is integrated with your git workflow. Backenly's covers the data and REST surfaces; auth, functions, and storage still resolve to main.
- Agent access
Supabase
Official MCP server with a broader tool surface, read-only mode, and project scoping
Backenly
Twenty-three advertised tools; destructive operations are absent from the surface and route to approval
In practice
Different safety models rather than different reach. See the agent section below.
- Serverless functions
Supabase
Edge Functions
Backenly
Event, HTTP, and scheduled functions
In practice
Supabase's is a general-purpose edge runtime. Backenly's are shaped around database events.
- Licence
Supabase
Apache-2.0, self-hostable
Backenly
Apache-2.0, self-hostable
In practice
The same answer. Neither locks the door on the way out.
- Billing shape
Supabase
Pro starts at $25/month with metered dimensions above the included limits
Backenly
Pro is $25/month, with quotas that are hard caps unless you set a spend limit
In practice
A difference in shape rather than headline price. Backenly bills nothing past $25 until you choose to, and then never past the limit you set; metered billing by default tracks what you use from the first unit past the quota.
These are real advantages, not concessions written to look balanced. If one of them is decisive for you, it should decide it.
Where Supabase is stronger
A larger established ecosystem and community
Supabase has been generally available for years and Backenly has not. That difference shows up in the things an ecosystem produces: answered questions, third-party integrations, tutorials, and engineers who already know the platform. For many teams this alone decides it, and it is a rational reason.
Branching that plugs into your git workflow
Supabase branches are driven from GitHub, with a deployment workflow that runs on pushes and preview branches tied to pull requests. Backenly has branch-scoped data environments but nothing wired into pull requests. If preview-per-PR is central to how your team ships, Supabase does it and Backenly does not.
A general-purpose edge function runtime
Edge Functions run arbitrary server-side code at the edge. Backenly's functions are shaped around database events, HTTP endpoints, and schedules, which covers a lot of application logic and is not the same thing as an open runtime.
A broader agent tool surface
Supabase's official MCP server advertises more tools than Backenly's twenty, across more product areas including account management and Edge Functions. If you want the widest agent reach, theirs is wider.
A defined tier above Pro
Supabase publishes a Team plan above Pro. Backenly goes from a $25 Pro plan straight to a sales-led Enterprise conversation, which is a worse fit for a mid-size team that wants to self-serve.
Where Backenly is stronger
One audited path for structural change
Every schema mutation goes through the same kernel, whether it came from the dashboard, an agent, or the repair loop. That is what makes a change history, a restore point, and an approval gate possible at all, rather than three features bolted onto three code paths.
Policy SQL is installed as written, and read back
Backenly has a typed door for row-level security that takes your predicate verbatim, installs exactly the commands you named, and re-reads pg_policies before reporting success. It exists because the alternative, describing a policy to a language model, was observed dropping conjuncts and quietly narrowing predicates.
Something keeps checking after you stop
The invariant set includes failures that are invisible from a dashboard: a policy technically enabled but evaluating to USING (true), a policy that denies everyone including the owner, and a policy written against session variables the data plane never sets, which matches nothing and returns 200 with an empty array.
The agent surface cannot execute a drop
Destructive tools are filtered out of the advertised MCP surface rather than present and discouraged. A request to drop a table becomes an approval id and a card for a person.
What the operating layer actually does, stated narrowly
Backenly reconciles a live backend against a set of declared invariants and sorts each finding into one of three outcomes. Applied automatically: a narrow, enumerable band that is additive or restorative: create a missing index, vacuum a bloated table, reindex a bloated index, install a row-security policy where ownership is derivable from the schema, restore a missing REST surface, register a schema that was never exposed, adopt schema changes made over a direct connection, restart a data plane that is already down. Held for a person: anything touching authentication, external credentials, or anything destructive or irreversible, at every autonomy level including the most permissive. Reported only: everything with no safe repair, which is most of the catalogue, including behavioural regressions where the cause is not in the measurement. Schema-touching repairs take a restore point before they run and re-probe afterwards, and the result records whether the gap was confirmed closed or merely attempted. If the backend is already mid-incident, automatic changes are frozen for that cycle, because mutating a failing system is how automation makes an outage worse.
Two different answers to the same agent question
Both products ship an official MCP server, and Supabase's advertises more tools than Backenly's. Tool count is not the interesting difference. Supabase's approach is configuration: the server offers a read-only mode and project scoping, and their documentation recommends pointing it at a development project rather than production. That is sound advice and the controls are real, but they are controls you have to apply. Backenly's approach is structural: destructive operations are filtered out of the advertised surface entirely, so a model cannot select one, and a request to drop a table returns an approval id parked in a queue for a person. A key can additionally be minted read-only, which withholds every write door including the natural-language one, since a chat tool that can create a table is not read-only in any useful sense. The honest summary is that Supabase gives you a wider surface plus the settings to constrain it, and Backenly gives you a narrower one you do not have to remember to constrain.
Moving an existing project
Backenly publishes a compatibility entry point in its SDK that emits PostgREST directly, so a supabase-js frontend keeps its query grammar: filters, embedded resources, upsert with a conflict target, exact counts, and the { data, error } convention that never throws. Data moves with pg_dump, in either direction, because both sides are ordinary PostgreSQL. That is the whole of what is provided, and it is a client-compatibility bridge rather than a migration product.
What stays your work
- There is no migration service. Nothing here is done for you, on any plan.
- rpc() is not supported. Backenly exposes no SQL-function surface, so stored-procedure call sites need re-homing as event, HTTP, or scheduled functions.
- Policies are re-authored, not translated. Your row-level security model does not convert automatically.
- Auth and storage are Backenly's own implementations. Common calls map across; anything provider-specific needs checking.
- Moving the data and running the cutover remain your work.
Which one to pick
Choose Supabase when
- Your team is comfortable owning schema design, migrations, and RLS review, and treats that control as a feature rather than a chore.
- Preview environments per pull request are central to how you ship.
- You need a general-purpose edge runtime rather than event-shaped functions.
- Ecosystem size, hiring pool, and the volume of existing answers are decisive. They are legitimate reasons, and Supabase wins on all three.
- You want a self-serve tier between a small paid plan and an enterprise contract.
Choose Backenly when
- Nobody on the team wants to own migrations, policy review, and incident response, and you would rather that work were done by a system that keeps a change record.
- A coding agent is doing much of your building, and you want a surface where a bad turn structurally cannot drop a table.
- Predictable billing matters more to you than paying only for what you use.
- You want the Postgres API you already know without owning the operational work behind it.
Common questions
Both serve tables through PostgREST on PostgreSQL, so filters, ordering, embedded resources, upsert with a conflict target, and exact counts behave the same way. Backenly exposes it at /api/v2/{projectId}/{table} and ships a compatibility entry point that emits PostgREST rather than translating it. The common path carries over; rpc() does not, because Backenly exposes no SQL-function surface.
Not necessarily, and the comparison is a shape rather than a number. Both Pro plans start at the same advertised price. Supabase Pro adds metered dimensions above its included limits, so the bill tracks usage. Backenly Pro is flat, so the bill is predictable and you meet a quota instead of a line item. Which works out cheaper depends entirely on your usage.
No. It can install a policy you specify, exactly as written, and read it back to confirm what landed. It can generate one where row ownership is derivable from the schema, and where it is not, it refuses and asks you for the rule rather than guessing, because a wrong policy turns a data leak into an outage. Separately, a set of invariants inspects known ways a policy fails silently. The rule itself is still yours on both platforms.
Both. The main Supabase repository is Apache-2.0 and self-hostable, and Backenly is Apache-2.0 and self-hostable including its autonomy engine, with the client packages under MIT. On licensing and exit path there is no meaningful difference to argue about.
Where the Supabase facts on this page came from
- Supabase plans: Free from $0/month, Pro from $25/month, Team from $599/month, Enterprise custom. Pro includes metered dimensions above plan limits, with spend caps on by default. https://supabase.com/pricing (read 2026-09-02)
- Supabase ships an official MCP server with a broader tool surface than Backenly's twenty, supporting a read-only mode and project scoping. Its documentation recommends using it with a development project rather than production. https://supabase.com/docs/guides/getting-started/mcp (read 2026-09-02)
- Supabase documents branching driven from GitHub, with preview branches tied to pull requests and a deployment workflow that runs on commits pushed to a git branch. New branches start without data from the main project. https://supabase.com/docs/guides/deployment/branching (read 2026-09-02)
- Supabase documents that RLS is not enabled by default on new tables, and its guide requires a pgTAP test suite, stating that until the suite passes you do not know whether the policies do what you intended. https://supabase.com/docs/guides/database/postgres/row-level-security (read 2026-09-02)
- The main supabase/supabase repository is licensed Apache-2.0, and self-hosting is offered. https://github.com/supabase/supabase (read 2026-09-02)